DeloitteMachine Learning-Lead AI and Data Science Engineer II
Required skills for this role
OracleSQLPythonAWSAzureGCPDockerGit
About this role
AI & Data
In this age of disruption, organizations need to navigate the future with confidence, embracing decision making with clear, data-driven choices that deliver enterprise value in a dynamic business environment.
The AI & Data team leverages the power of data, analytics, robotics, science and cognitive technologies to uncover hidden relationships from vast troves of data, generate insights, and inform decision-making. The offering portfolio helps clients transform their business by architecting organizational intelligence programs and differentiated strategies to win in their chosen markets.
AI & Data will work with our clients to:
• Implement large-scale data ecosystems including data management, governance and the integration of structured and unstructured data to generate insights leveraging cloud-based platforms.• Leverage automation, cognitive and science-based techniques to manage data, predict scenarios and prescribe actions.• Drive operational efficiency by maintaining their data ecosystems, sourcing analytics expertise and providing As-a-Service offerings for continuous insights and improvements.
Job Title: Manager
Job Summary: We are looking for a Generative AI Team Lead with hands-on experience to design, develop and deploy AI and Generative AI models that generate high quality content, such as text, images, chatbots, etc. The Ideal candidate will have expertise in deep learning, natural language processing, and computer vision.
Key Responsibilities:
• Lead and deliver large-scale AI/Gen AI projects across multiple industries and domains.• Liaison with on-site and client teams to understand various business problem statements and project requirements.• Lead a team of Data Engineers, ML/AI Engineers, Prompt engineers, and other Data & AI professionals to deliver projects from inception to implementation.• Brainstorm, build & improve AI/Gen AI models developed by the team & identify scope for model improvements & best practices.• Assist and participate in pre-sales, client pursuits and proposals.• Drive a human-led culture of Inclusion & Diversity by caring deeply for all team members.
Qualifications:
• 10-15 years of relevant experience in Generative AI, Deep Learning, or NLP• Bachelor’s or master’s degree in a quantitative field.• Led a 3–5-member team on multiple end to end AI/GenAI projects• Excellent communication and client/stakeholder management skills• Must have strong hands-on experience with programming languages like Python, Cuda and SQL, and frameworks such as TensorFlow, PyTorch and Keras• Hands-on experience with top LLM models like OpenAI GPT-3.5/4, Google Gemini, AWS Bedrock, LLaMA 3.0, and Mistral, along with RAG and Agentic workflows• Well versed with GANs and Transformer architecture, knows about Diffusion models, up to date with new research/progress in the field of Gen AI• Should follow research papers, comprehend and innovate/present the best approaches/solutions related to Generative AI components.• Knowledge of hyperscaler offerings (NVIDIA, AWS, Azure, GCP, Oracle) and Gen AI tools (Copilot, Vertex AI).• Knowledge of Vector DB, Neo4J/relevant Graph DBs• Familiar with Docker containerization, GIT, etc.• AI/Cloud certification from a premier institute is preferred.
In this age of disruption, organizations need to navigate the future with confidence, embracing decision making with clear, data-driven choices that deliver enterprise value in a dynamic business environment.
The AI & Data team leverages the power of data, analytics, robotics, science and cognitive technologies to uncover hidden relationships from vast troves of data, generate insights, and inform decision-making. The offering portfolio helps clients transform their business by architecting organizational intelligence programs and differentiated strategies to win in their chosen markets.
AI & Data will work with our clients to:
• Implement large-scale data ecosystems including data management, governance and the integration of structured and unstructured data to generate insights leveraging cloud-based platforms.• Leverage automation, cognitive and science-based techniques to manage data, predict scenarios and prescribe actions.• Drive operational efficiency by maintaining their data ecosystems, sourcing analytics expertise and providing As-a-Service offerings for continuous insights and improvements.
Job Title: Manager
Job Summary: We are looking for a Generative AI Team Lead with hands-on experience to design, develop and deploy AI and Generative AI models that generate high quality content, such as text, images, chatbots, etc. The Ideal candidate will have expertise in deep learning, natural language processing, and computer vision.
Key Responsibilities:
• Lead and deliver large-scale AI/Gen AI projects across multiple industries and domains.• Liaison with on-site and client teams to understand various business problem statements and project requirements.• Lead a team of Data Engineers, ML/AI Engineers, Prompt engineers, and other Data & AI professionals to deliver projects from inception to implementation.• Brainstorm, build & improve AI/Gen AI models developed by the team & identify scope for model improvements & best practices.• Assist and participate in pre-sales, client pursuits and proposals.• Drive a human-led culture of Inclusion & Diversity by caring deeply for all team members.
Qualifications:
• 10-15 years of relevant experience in Generative AI, Deep Learning, or NLP• Bachelor’s or master’s degree in a quantitative field.• Led a 3–5-member team on multiple end to end AI/GenAI projects• Excellent communication and client/stakeholder management skills• Must have strong hands-on experience with programming languages like Python, Cuda and SQL, and frameworks such as TensorFlow, PyTorch and Keras• Hands-on experience with top LLM models like OpenAI GPT-3.5/4, Google Gemini, AWS Bedrock, LLaMA 3.0, and Mistral, along with RAG and Agentic workflows• Well versed with GANs and Transformer architecture, knows about Diffusion models, up to date with new research/progress in the field of Gen AI• Should follow research papers, comprehend and innovate/present the best approaches/solutions related to Generative AI components.• Knowledge of hyperscaler offerings (NVIDIA, AWS, Azure, GCP, Oracle) and Gen AI tools (Copilot, Vertex AI).• Knowledge of Vector DB, Neo4J/relevant Graph DBs• Familiar with Docker containerization, GIT, etc.• AI/Cloud certification from a premier institute is preferred.